Introduction to Python

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Python course helps you to rapidly develop feature-rich applications, Structure code with classes, functions, modules and OO features, access standard and third-party modules and packages

If you want to become professional python programmer or to increase the knowledge in a distinctive area of python programming like (building Django Framework, making a python apps, working on data Science, developing a game, etc)from scratch!.

The ICT-training institute provides the most comprehensive and straight-forward python programming course for anyone who has a great desire to learn the power of python programming language. The major objective of ICT-Training Institute is to learn coding step by step in a practical way to work on real-time applications.

Python is a versatile programming language, before learning this language first read about the python that answers many of the questions in your mind to distract you from the right path. Down below you will see why python is created and what application areas of python are.

Why Learn Python?

Python is easy to learn.

Python is the popular and high-level programming language with its versatile features of developing desktop applications, web apps, game development, machine learning and bring efficiency to day-to-day marketing analytics.

It has incorporated great tools for data mining also.

If the structure and design of project analysis meet its objectives then the next step of developing an application in the python will be easier. Google, Dropbox, Pinterest, Instagram, Reddit, BitTorrent, Civilization IV are the most common examples of the python application.

Python Contents

Core Concepts

• Python language characteristics
• The Python execution model

Leveraging Python Built-in Types

Manipulating string and numeric literals

• Declaring and initializing variables
• Performing arithmetic calculations
• Making decisions and performing iterations
• Formatting and slicing strings

Aggregating related data

• Accessing positional information in lists
• Representing ordered data with tuples
• Consistently handling data collections with iterators

Organizing and Structuring Code

Defining and calling functions

• Positional, keyword and default arguments
• Implementing variable-length argument lists
• Iterating with generator functions

Grouping code into modules

• Importing and reloading modules
• Referencing functions from modules by qualification
• Combining modules into packages

Implementing Classes and Objects

Declaring and modifying objects

• Encapsulating attributes and methods in classes
• Initializing objects with constructors
• Accessing derived data with properties
• Overloading operators

Inheritance and polymorphism

• Reusing functionality through inheritance
• Extending methods from base classes
• Overriding methods for dynamic behavior
• Tracing the scope in the namespace
• Enhancing functionality with class decorators

The real-time examples will be given throughout the lectures, starting from design, analysis, implementation, and maintenance.